Most Cited 2025 "livecodebench" Papers
22,274 papers found • Page 29 of 112
Conference
FlowMo: Variance-Based Flow Guidance for Coherent Motion in Video Generation
Ariel Shaulov, Itay Hazan, Lior Wolf et al.
Segment Any 3D Object with Language
Seungjun Lee, Yuyang Zhao, Gim H Lee
Speculative Prefill: Turbocharging TTFT with Lightweight and Training-Free Token Importance Estimation
Jingyu Liu, Beidi Chen, Ce Zhang
MPS-Prover: Advancing Stepwise Theorem Proving by Multi-Perspective Search and Data Curation
Zhenwen Liang, Linfeng Song, Yang Li et al.
VideoMAR: Autoregressive Video Generation with Continuous Tokens
Hu Yu, Biao Gong, Hangjie Yuan et al.
Rectifying Conformity Scores for Better Conditional Coverage
Vincent Plassier, Alexander Fishkov, Victor Dheur et al.
Overcoming Challenges of Long-Horizon Prediction in Driving World Models
Arian Mousakhan, Sudhanshu Mittal, Silvio Galesso et al.
GaussianFusion: Gaussian-Based Multi-Sensor Fusion for End-to-End Autonomous Driving
Shuai Liu, Quanmin Liang, Zefeng Li et al.
Expensive Multi-Objective Bayesian Optimization Based on Diffusion Models
Bingdong Li, Zixiang Di, Yongfan Lu et al.
RAD: Region-Aware Diffusion Models for Image Inpainting
Sora Kim, Sungho Suh, Minsik Lee
HMoRA: Making LLMs More Effective with Hierarchical Mixture of LoRA Experts
Mengqi Liao, Wei Chen, Junfeng Shen et al.
nvBench 2.0: Resolving Ambiguity in Text-to-Visualization through Stepwise Reasoning
Tianqi Luo, Chuhan Huang, Leixian Shen et al.
Unified Breakdown Analysis for Byzantine Robust Gossip
Renaud Gaucher, Aymeric Dieuleveut, Hadrien Hendrikx
A Smooth Sea Never Made a Skilled SAILOR: Robust Imitation via Learning to Search
Arnav Kumar Jain, Vibhakar Mohta, Subin Kim et al.
DuMo: Dual Encoder Modulation Network for Precise Concept Erasure
Feng Han, Kai Chen, Chao Gong et al.
GraphCL: Graph-based Clustering for Semi-Supervised Medical Image Segmentation
Mengzhu Wang, houcheng su, Jiao Li et al.
Learning Strategic Language Agents in the Werewolf Game with Iterative Latent Space Policy Optimization
Zelai Xu, Wanjun Gu, Chao Yu et al.
ComPO: Preference Alignment via Comparison Oracles
Peter Chen, Xi Chen, Wotao Yin et al.
NullSwap: Proactive Identity Cloaking Against Deepfake Face Swapping
Tianyi Wang, Shuaicheng Niu, Harry Cheng et al.
3D Student Splatting and Scooping
Jialin Zhu, Jiangbei Yue, Feixiang He et al.
DARE the Extreme: Revisiting Delta-Parameter Pruning For Fine-Tuned Models
Wenlong Deng, Yize Zhao, Vala Vakilian et al.
Adapters for Altering LLM Vocabularies: What Languages Benefit the Most?
HyoJung Han, Akiko Eriguchi, Haoran Xu et al.
Interpretable Vision-Language Survival Analysis with Ordinal Inductive Bias for Computational Pathology
Pei Liu, Luping Ji, Jiaxiang Gou et al.
Generalized Consistency Trajectory Models for Image Manipulation
Beomsu Kim, Jaemin Kim, Jeongsol Kim et al.
Out of Length Text Recognition with Sub-String Matching
Yongkun Du, Zhineng Chen, Caiyan Jia et al.
EMHI: A Multimodal Egocentric Human Motion Dataset with HMD and Body-Worn IMUs
Zhen Fan, Peng Dai, Zhuo Su et al.
WHAT MAKES MATH PROBLEMS HARD FOR REINFORCEMENT LEARNING: A CASE STUDY
Ali Shehper, Anibal Medina-Mardones, Lucas Fagan et al.
Erase Diffusion: Empowering Object Removal Through Calibrating Diffusion Pathways
Yi Liu, Hao Zhou, Benlei Cui et al.
DISC: Dynamic Decomposition Improves LLM Inference Scaling
Jonathan Li, Wei Cheng, Benjamin Riviere et al.
Understanding Adam Requires Better Rotation Dependent Assumptions
Tianyue Zhang, Lucas Maes, Alan Milligan et al.
Adaptive Unimodal Regulation for Balanced Multimodal Information Acquisition
Chengxiang Huang, Yake Wei, Zequn Yang et al.
PokerBench: Training Large Language Models to Become Professional Poker Players
Richard Zhuang, Akshat Gupta, Richard Yang et al.
Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning
Yeoreum Lee, Jinwook Jung, Sungyong Baik
Zero-Shot Scene Change Detection
Kyusik Cho, Dong Yeop Kim, Euntai Kim
A Spark of Vision-Language Intelligence: 2-Dimensional Autoregressive Transformer for Efficient Finegrained Image Generation
Liang Chen, Sinan Tan, Zefan Cai et al.
Beware of Calibration Data for Pruning Large Language Models
Yixin Ji, Yang Xiang, Juntao Li et al.
SVGBuilder: Component-Based Colored SVG Generation with Text-Guided Autoregressive Transformers
Zehao Chen, Rong Pan
DiveR-CT: Diversity-enhanced Red Teaming Large Language Model Assistants with Relaxing Constraints
Andrew Zhao, Quentin Xu, Matthieu Lin et al.
Alleviate and Mining: Rethinking Unsupervised Domain Adaptation for Mitochondria Segmentation from Pseudo-Label Perspective
Yujia Chen, Rui Sun, Wangkai Li et al.
GS-2DGS: Geometrically Supervised 2DGS for Reflective Object Reconstruction
Jinguang Tong, Xuesong li, Fahira Afzal Maken et al.
Sparse2DGS: Geometry-Prioritized Gaussian Splatting for Surface Reconstruction from Sparse Views
Jiang Wu, Rui Li, Yu Zhu et al.
Federated Residual Low-Rank Adaption of Large Language Models
Yunlu Yan, Chun-Mei Feng, Wangmeng Zuo et al.
Filter or Compensate: Towards Invariant Representation from Distribution Shift for Anomaly Detection
Zining Chen, Xingshuang Luo, Weiqiu Wang et al.
GTR: Guided Thought Reinforcement Prevents Thought Collapse in RL-based VLM Agent Training
Tong Wei, Yijun Yang, Junliang Xing et al.
Joint Out-of-Distribution Filtering and Data Discovery Active Learning
Sebastian Schmidt, Leonard Schenk, Leo Schwinn et al.
Generative Zero-Shot Composed Image Retrieval
Lan Wang, Wei Ao, Vishnu Naresh Boddeti et al.
Error-quantified Conformal Inference for Time Series
Junxi Wu, Dongjian Hu, Yajie Bao et al.
SoPo: Text-to-Motion Generation Using Semi-Online Preference Optimization
Xiaofeng Tan, Hongsong Wang, Xin Geng et al.
PIG: Physics-Informed Gaussians as Adaptive Parametric Mesh Representations
Namgyu Kang, Jaemin Oh, Youngjoon Hong et al.
4KAgent: Agentic Any Image to 4K Super-Resolution
Yushen Zuo, Qi Zheng, Mingyang Wu et al.
CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning
Jiangpeng He, Zhihao Duan, Fengqing Zhu
Mitigating Social Bias in Large Language Models: A Multi-Objective Approach Within a Multi-Agent Framework
Zhenjie Xu, Wenqing Chen, Yi Tang et al.
Benchmarking Quantum Reinforcement Learning
Nico Meyer, Christian Ufrecht, George Yammine et al.
DyCON: Dynamic Uncertainty-aware Consistency and Contrastive Learning for Semi-supervised Medical Image Segmentation
Maregu Assefa, Muzammal Naseer, IYYAKUTTI IYAPPAN GANAPATHI et al.
Data Pruning by Information Maximization
Haoru Tan, Sitong Wu, Wei Huang et al.
GC4NC: A Benchmark Framework for Graph Condensation on Node Classification with New Insights
Shengbo Gong, Juntong Ni, Noveen Sachdeva et al.
Enhancing Adversarial Transferability with Adversarial Weight Tuning
Jiahao Chen, Zhou Feng, Rui Zeng et al.
Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization
Kehua Chen, Zhenlong Yuan, Tianlu Mao et al.
Fish-Vista: A Multi-Purpose Dataset for Understanding & Identification of Traits from Images
Kazi Sajeed Mehrab, M. Maruf, Arka Daw et al.
MaFeRw: Query Rewriting with Multi-Aspect Feedbacks for Retrieval-Augmented Large Language Models
Yujing Wang, Hainan Zhang, Liang Pang et al.
EBBS: An Ensemble with Bi-Level Beam Search for Zero-Shot Machine Translation
Yuqiao Wen, Behzad Shayegh, Chenyang Huang et al.
Web-Shepherd: Advancing PRMs for Reinforcing Web Agents
Hyungjoo Chae, Seonghwan Kim, Junhee Cho et al.
A Comprehensive Evaluation on Event Reasoning of Large Language Models
Zhengwei Tao, Zhi Jin, Yifan Zhang et al.
Neural LightRig: Unlocking Accurate Object Normal and Material Estimation with Multi-Light Diffusion
Zexin He, Tengfei Wang, Xin Huang et al.
Adaptive Few-shot Prompting for Machine Translation with Pre-trained Language Models
Lei Tang, Jinghui Qin, Wenxuan Ye et al.
DCBM: Data-Efficient Visual Concept Bottleneck Models
Katharina Prasse, Patrick Knab, Sascha Marton et al.
The Art of Deception: Color Visual Illusions and Diffusion Models
Alexandra Gomez-Villa, Kai Wang, C.Alejandro Parraga et al.
Progressive Mixed-Precision Decoding for Efficient LLM Inference
Hao (Mark) Chen, Fuwen Tan, Alexandros Kouris et al.
CorrCLIP: Reconstructing Patch Correlations in CLIP for Open-Vocabulary Semantic Segmentation
Dengke Zhang, Fagui Liu, Quan Tang
Contextual AD Narration with Interleaved Multimodal Sequence
Hanlin Wang, Zhan Tong, Kecheng Zheng et al.
PosterO: Structuring Layout Trees to Enable Language Models in Generalized Content-Aware Layout Generation
HsiaoYuan Hsu, Yuxin Peng
Finite-Sample Analysis of Policy Evaluation for Robust Average Reward Reinforcement Learning
Yang Xu, Washim Mondal, Vaneet Aggarwal
FlowRAM: Grounding Flow Matching Policy with Region-Aware Mamba Framework for Robotic Manipulation
Sen Wang, Le Wang, Sanping Zhou et al.
Accelerated Over-Relaxation Heavy-Ball Method: Achieving Global Accelerated Convergence with Broad Generalization
Jingrong Wei, Long Chen
Sparse Learning for State Space Models on Mobile
Xuan Shen, Hangyu Zheng, Yifan Gong et al.
Interpretable Image Classification via Non-parametric Part Prototype Learning
Zhijie Zhu, Lei Fan, Maurice Pagnucco et al.
Learning Fine-grained Domain Generalization via Hyperbolic State Space Hallucination
Qi Bi, Jingjun Yi, Haolan Zhan et al.
Just What You Desire: Constrained Timeline Summarization with Self-Reflection for Enhanced Relevance
Muhammad Reza Qorib, Qisheng Hu, Hwee Tou Ng
Evaluating LLM Reasoning in the Operations Research Domain with ORQA
Mahdi Mostajabdaveh, Timothy Tin Long Yu, Samarendra Chandan Bindu Dash et al.
ToMATO: Verbalizing the Mental States of Role-Playing LLMs for Benchmarking Theory of Mind
Kazutoshi Shinoda, Nobukatsu Hojo, Kyosuke Nishida et al.
MDSGen: Fast and Efficient Masked Diffusion Temporal-Aware Transformers for Open-Domain Sound Generation
Trung X. Pham, Tri Ton, Chang Yoo
Enhancing Creative Generation on Stable Diffusion-based Models
Jiyeon Han, Dahee Kwon, Gayoung Lee et al.
Near-Optimal Policy Identification in Robust Constrained Markov Decision Processes via Epigraph Form
Toshinori Kitamura, Tadashi Kozuno, Wataru Kumagai et al.
GNS: Solving Plane Geometry Problems by Neural-Symbolic Reasoning with Multi-Modal LLMs
Maizhen Ning, Zihao Zhou, Qiufeng Wang et al.
ZIM: Zero-Shot Image Matting for Anything
Beomyoung Kim, Chanyong Shin, Joonhyun Jeong et al.
Does Training with Synthetic Data Truly Protect Privacy?
Yunpeng Zhao, Jie Zhang
Causally Reliable Concept Bottleneck Models
Giovanni De Felice, Arianna Casanova Flores, Francesco De Santis et al.
X-Drive: Cross-modality Consistent Multi-Sensor Data Synthesis for Driving Scenarios
Yichen Xie, Chenfeng Xu, Chensheng Peng et al.
3D-RPE: Enhancing Long-Context Modeling Through 3D Rotary Position Encoding
Xindian Ma, Wenyuan Liu, Peng Zhang et al.
CrossOver: 3D Scene Cross-Modal Alignment
Sayan Deb Sarkar, Ondrej Miksik, Marc Pollefeys et al.
Homomorphism Counts as Structural Encodings for Graph Learning
Linus Bao, Emily Jin, Michael Bronstein et al.
Adaptive Draft-Verification for Efficient Large Language Model Decoding
Xukun Liu, Bowen Lei, Ruqi Zhang et al.
Is LLMs Hallucination Usable? LLM-based Negative Reasoning for Fake News Detection
Chaowei Zhang, Zongling Feng, Zewei Zhang et al.
Bayesian Optimization via Continual Variational Last Layer Training
Paul Brunzema, Mikkel Jordahn, John Willes et al.
Exploring Temporally-Aware Features for Point Tracking
Inès Hyeonsu Kim, Seokju Cho, Gabriel Huang et al.
GFlowVLM: Enhancing Multi-step Reasoning in Vision-Language Models with Generative Flow Networks
Haoqiang Kang, Enna Sachdeva, Piyush Gupta et al.
SWEA: Updating Factual Knowledge in Large Language Models via Subject Word Embedding Altering
Xiaopeng Li, Shasha Li, Shezheng Song et al.
Accessing Vision Foundation Models via ImageNet-1K
Yitian Zhang, Xu Ma, Yue Bai et al.
Tree-Wasserstein Distance for High Dimensional Data with a Latent Feature Hierarchy
Ya-Wei Eileen Lin, Ronald Coifman, Gal Mishne et al.
MonoSplat: Generalizable 3D Gaussian Splatting from Monocular Depth Foundation Models
Yifan Liu, Keyu Fan, Weihao Yu et al.
Exploring Model Editing for LLM-based Aspect-Based Sentiment Classification
Shichen Li, Zhongqing Wang, Zheyu Zhao et al.
Enhancing Large Language Model Performance with Gradient-Based Parameter Selection
Haoling Li, Xin Zhang, Xiao Liu et al.
SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations
Grigory Bartosh, Dmitry Vetrov, Christian Andersson Naesseth
Controllable Protein Sequence Generation with LLM Preference Optimization
Xiangyu Liu, Yi Liu, Silei Chen et al.
CPathAgent: An Agent-based Foundation Model for Interpretable High-Resolution Pathology Image Analysis Mimicking Pathologists' Diagnostic Logic
YUXUAN SUN, Yixuan Si, Chenglu Zhu et al.
Data Unlearning in Diffusion Models
Silas Alberti, Kenan Hasanaliyev, Manav Shah et al.
MLLM as Retriever: Interactively Learning Multimodal Retrieval for Embodied Agents
Junpeng Yue, Xinrun Xu, Börje F. Karlsson et al.
A multiscale analysis of mean-field transformers in the moderate interaction regime
Giuseppe Bruno, Federico Pasqualotto, Andrea Agazzi
PEACE: Empowering Geologic Map Holistic Understanding with MLLMs
Yangyu Huang, Tianyi Gao, Haoran Xu et al.
Rethinking the role of frames for SE(3)-invariant crystal structure modeling
Yusei Ito, Tatsunori Taniai, Ryo Igarashi et al.
AnyDressing: Customizable Multi-Garment Virtual Dressing via Latent Diffusion Models
Xinghui Li, Qichao Sun, Pengze Zhang et al.
Accurate Differential Operators for Hybrid Neural Fields
Aditya Chetan, Guandao Yang, Zichen Wang et al.
Directional Gradient Projection for Robust Fine-Tuning of Foundation Models
Chengyue Huang, Junjiao Tian, Brisa Maneechotesuwan et al.
Knowledge in Superposition: Unveiling the Failures of Lifelong Knowledge Editing for Large Language Models
Chenhui Hu, Pengfei Cao, Yubo Chen et al.
CTSyn: A Foundation Model for Cross Tabular Data Generation
Xiaofeng Lin, Chenheng Xu, Matthew Yang et al.
LangBridge: Interpreting Image as a Combination of Language Embeddings
Jiaqi Liao, Yuwei Niu, Fanqing Meng et al.
Embedding Safety into RL: A New Take on Trust Region Methods
Nikola Milosevic, Johannes Müller, Nico Scherf
Diversity as a Reward: Fine-Tuning LLMs on a Mixture of Domain-Undetermined Data
Zhenqing Ling, Daoyuan Chen, Liuyi Yao et al.
Multi-Granularity Class Prototype Topology Distillation for Class-Incremental Source-Free Unsupervised Domain Adaptation
Peihua Deng, Jiehua Zhang, Xichun Sheng et al.
NutriBench: A Dataset for Evaluating Large Language Models in Nutrition Estimation from Meal Descriptions
Mehak Dhaliwal, Andong Hua, Laya Pullela et al.
Approaching Rate-Distortion Limits in Neural Compression with Lattice Transform Coding
Eric Lei, Hamed Hassani, Shirin Saeedi Bidokhti
EWMoE: An Effective Model for Global Weather Forecasting with Mixture-of-Experts
Lihao Gan, Xin Man, Chenghong Zhang et al.
SolidGeo: Measuring Multimodal Spatial Math Reasoning in Solid Geometry
Peijie Wang, Chao Yang, Zhong-Zhi Li et al.
BHViT: Binarized Hybrid Vision Transformer
Tian Gao, Yu Zhang, Zhiyuan Zhang et al.
TabWak: A Watermark for Tabular Diffusion Models
Chaoyi Zhu, Jiayi Tang, Jeroen Galjaard et al.
De-mark: Watermark Removal in Large Language Models
Ruibo Chen, Yihan Wu, Junfeng Guo et al.
Composite Flow Matching for Reinforcement Learning with Shifted-Dynamics Data
Lingkai Kong, Haichuan Wang, Tonghan Wang et al.
NeSyC: A Neuro-symbolic Continual Learner For Complex Embodied Tasks in Open Domains
Wonje Choi, Jinwoo Park, Sanghyun Ahn et al.
Open CaptchaWorld: A Comprehensive Web-based Platform for Testing and Benchmarking Multimodal LLM Agents
Yaxin Luo, Zhaoyi Li, Jiacheng Liu et al.
Face-Human-Bench: A Comprehensive Benchmark of Face and Human Understanding for Multi-modal Assistants
Lixiong Qin, Shilong Ou, Miaoxuan Zhang et al.
Solving Inverse Problems with FLAIR
Julius Erbach, Dominik Narnhofer, Andreas Dombos et al.
A General Framework for Producing Interpretable Semantic Text Embeddings
Yiqun Sun, Qiang Huang, Yixuan Tang et al.
True Zero-Shot Inference of Dynamical Systems Preserving Long-Term Statistics
Christoph Jürgen Hemmer, Daniel Durstewitz
Incomplete Multi-view Deep Clustering with Data Imputation and Alignment
Jiyuan Liu, Xinwang Liu, Xinhang Wan et al.
Sharpness-Aware Minimization: General Analysis and Improved Rates
Dimitris Oikonomou, Nicolas Loizou
ProKeR: A Kernel Perspective on Few-Shot Adaptation of Large Vision-Language Models
Yassir Bendou, Amine Ouasfi, Vincent Gripon et al.
Unleashing the Power of One-Step Diffusion based Image Super-Resolution via a Large-Scale Diffusion Discriminator
Jianze Li, Jiezhang Cao, Zichen Zou et al.
MMLongBench: Benchmarking Long-Context Vision-Language Models Effectively and Thoroughly
Zhaowei Wang, Wenhao Yu, Xiyu REN et al.
The Change You Want To Detect: Semantic Change Detection In Earth Observation With Hybrid Data Generationf
Yanis Benidir, Nicolas Gonthier, Clement Mallet
Circuit Transformer: A Transformer That Preserves Logical Equivalence
Xihan Li, Xing Li, Lei Chen et al.
PanTS: The Pancreatic Tumor Segmentation Dataset
Wenxuan Li, Xinze Zhou, Qi Chen et al.
Mixture of Experts as Representation Learner for Deep Multi-View Clustering
Yunhe Zhang, Jinyu Cai, Zhihao Wu et al.
An All-Atom Generative Model for Designing Protein Complexes
Ruizhe Chen, Dongyu Xue, Xiangxin Zhou et al.
Instance-dependent Early Stopping
Suqin Yuan, Runqi Lin, Lei Feng et al.
Linguistics-aware Masked Image Modeling for Self-supervised Scene Text Recognition
Yifei Zhang, Chang Liu, Jin Wei et al.
RLtools: A Fast, Portable Deep Reinforcement Learning Library for Continuous Control
Jonas Eschmann, Dario Albani, Giuseppe Loianno
Federated Domain Generalization with Data-free On-server Matching Gradient
Binh Nguyen, Minh-Duong Nguyen, Jinsun Park et al.
SimpleStrat: Diversifying Language Model Generation with Stratification
Justin Wong, Yury Orlovskiy, Alexander Shypula et al.
LLAVIDAL: A Large LAnguage VIsion Model for Daily Activities of Living
Dominick Reilly, Rajatsubhra Chakraborty, Arkaprava Sinha et al.
Video Action Differencing
James Burgess, Xiaohan Wang, Yuhui Zhang et al.
DiffusionSfM: Predicting Structure and Motion via Ray Origin and Endpoint Diffusion
Qitao Zhao, Amy Lin, Jeff Tan et al.
Multi-modal Knowledge Distillation-based Human Trajectory Forecasting
Jaewoo Jeong, Seohee Lee, Daehee Park et al.
From PEFT to DEFT: Parameter Efficient Finetuning for Reducing Activation Density in Transformers
Bharat Runwal, Tejaswini Pedapati, Pin-Yu Chen
Offline-to-Online Hyperparameter Transfer for Stochastic Bandits
Dravyansh Sharma, Arun Suggala
Large Language Models as End-to-end Combinatorial Optimization Solvers
Xia Jiang, Yaoxin Wu, Minshuo Li et al.
Boost Your Human Image Generation Model via Direct Preference Optimization
Sanghyeon Na, Yonggyu Kim, Hyunjoon Lee
EventFly: Event Camera Perception from Ground to the Sky
Lingdong Kong, Dongyue Lu, Xiang Xu et al.
Can Diffusion Models Learn Hidden Inter-Feature Rules Behind Images?
Yujin Han, Andi Han, Wei Huang et al.
SUMO: Search-Based Uncertainty Estimation for Model-Based Offline Reinforcement Learning
Zhongjian Qiao, Jiafei Lyu, Kechen Jiao et al.
IDA-VLM: Towards Movie Understanding via ID-Aware Large Vision-Language Model
Yatai Ji, Shilong Zhang, Jie Wu et al.
Noise Modeling in One Hour: Minimizing Preparation Efforts for Self-supervised Low-Light RAW Image Denoising
Feiran Li, Haiyang Jiang, Daisuke Iso
RS-vHeat: Heat Conduction Guided Efficient Remote Sensing Foundation Model
Huiyang Hu, Peijin Wang, Hanbo Bi et al.
Risk and cross validation in ridge regression with correlated samples
Alexander Atanasov, Jacob A Zavatone-Veth, Cengiz Pehlevan
Composing Unbalanced Flows for Flexible Docking and Relaxation
Gabriele Corso, Vignesh Ram Somnath, Noah Getz et al.
PostEdit: Posterior Sampling for Efficient Zero-Shot Image Editing
Feng Tian, Yixuan Li, Yichao Yan et al.
Layerwise Recurrent Router for Mixture-of-Experts
Zihan Qiu, Zeyu Huang, Shuang Cheng et al.
BANet: Bilateral Aggregation Network for Mobile Stereo Matching
Gangwei Xu, Jiaxin Liu, Xianqi Wang et al.
POp-GS: Next Best View in 3D-Gaussian Splatting with P-Optimality
Joey Wilson, Marcelino M. de Almeida, Sachit Mahajan et al.
REvolve: Reward Evolution with Large Language Models using Human Feedback
RISHI HAZRA, Alkis Sygkounas, Andreas Persson et al.
Are LLMs Prescient? A Continuous Evaluation using Daily News as the Oracle
Hui Dai, Ryan Teehan, Mengye Ren
Extrapolated Urban View Synthesis Benchmark
Xiangyu Han, Zhen Jia, Boyi Li et al.
The Belief State Transformer
Edward Hu, Kwangjun Ahn, Qinghua Liu et al.
HouseCrafter: Lifting Floorplans to 3D Scenes with 2D Diffusion Models
YIWEN CHEN, Hieu Nguyen, Vikram Voleti et al.
Ada-K Routing: Boosting the Efficiency of MoE-based LLMs
Zijia Zhao, Longteng Guo, Jie Cheng et al.
INST-IT: Boosting Instance Understanding via Explicit Visual Prompt Instruction Tuning
Wujian Peng, Lingchen Meng, Yitong Chen et al.
Multiview Equivariance Improves 3D Correspondence Understanding with Minimal Feature Finetuning
Yang You, Yixin Li, Congyue Deng et al.
Orchid: Image Latent Diffusion for Joint Appearance and Geometry Generation
Akshay Krishnan, Xinchen Yan, Vincent Casser et al.
Compositional simulation-based inference for time series
Manuel Gloeckler, Shoji Toyota, Kenji Fukumizu et al.
OVTR: End-to-End Open-Vocabulary Multiple Object Tracking with Transformer
Jinyang Li, En Yu, Sijia Chen et al.
Generalization, Expressivity, and Universality of Graph Neural Networks on Attributed Graphs
Levi Rauchwerger, Stefanie Jegelka, Ron Levie
IPDreamer: Appearance-Controllable 3D Object Generation with Complex Image Prompts
Bohan Zeng, Shanglin Li, Yutang Feng et al.
Open-Set Graph Anomaly Detection via Normal Structure Regularisation
Qizhou Wang, Guansong Pang, Mahsa Salehi et al.
Offline Multi-Agent Reinforcement Learning via In-Sample Sequential Policy Optimization
Zongkai Liu, Qian Lin, Chao Yu et al.
OmnixR: Evaluating Omni-modality Language Models on Reasoning across Modalities
Lichang Chen, Hexiang Hu, Mingda Zhang et al.
A transfer learning framework for weak to strong generalization
Seamus Somerstep, Felipe Maia Polo, Moulinath Banerjee et al.
g3D-LF: Generalizable 3D-Language Feature Fields for Embodied Tasks
Zihan Wang, Gim Hee Lee
Causally Motivated Sycophancy Mitigation for Large Language Models
Haoxi Li, Xueyang Tang, Jie ZHANG et al.
SeqGrowGraph: Learning Lane Topology as a Chain of Graph Expansions
Mengwei Xie, Shuang Zeng, Xinyuan Chang et al.
Iterative Tool Usage Exploration for Multimodal Agents via Step-wise Preference Tuning
Pengxiang Li, Zhi Gao, Bofei Zhang et al.
Visual Jenga: Discovering Object Dependencies via Counterfactual Inpainting
Anand Bhattad, Konpat Preechakul, Alexei Efros
Exploring CLIP's Dense Knowledge for Weakly Supervised Semantic Segmentation
Zhiwei Yang, Yucong Meng, Kexue Fu et al.
GaussRender: Learning 3D Occupancy with Gaussian Rendering
Loick Chambon, Eloi Zablocki, Alexandre Boulch et al.
DA-VPT: Semantic-Guided Visual Prompt Tuning for Vision Transformers
Li Ren, Chen Chen, Liqiang Wang et al.
Deep Weight Factorization: Sparse Learning Through the Lens of Artificial Symmetries
Chris Kolb, Tobias Weber, Bernd Bischl et al.
Learning from negative feedback, or positive feedback or both
Abbas Abdolmaleki, Bilal Piot, Bobak Shahriari et al.
Flaws of ImageNet, Computer Vision's Favourite Dataset
Nikita Kisel, Illia Volkov, Kateřina Hanzelková et al.
IR3D-Bench: Evaluating Vision-Language Model Scene Understanding as Agentic Inverse Rendering
Hengyu Liu, Chenxin Li, Zhengxin Li et al.
Neural Context Flows for Meta-Learning of Dynamical Systems
Roussel Desmond Nzoyem, David Barton, Tom Deakin
GCAD: Anomaly Detection in Multivariate Time Series from the Perspective of Granger Causality
Zehao Liu, Mengzhou Gao, Pengfei Jiao
MLZero: A Multi-Agent System for End-to-end Machine Learning Automation
Haoyang Fang, Boran Han, Nick Erickson et al.